The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Sickness absence as a predictor of mortality among male and female employees
Open accessAbstract
Objective: To determine the extent to which sickness absence is predictive of mortality. Design: Prospective cohort study. Data on medically certified long term absences (>3 days), self certified short term absences (1–3 days), and sick days were derived from employers’ records and data on mortality from the national mortality register. Setting: 10 towns in Finland. Participants: 12 821 male and 28 915 female Finnish municipal employees with a job contract of five consecutive years. The mean follow up was 4.5 years. Main results: After adjustment for age, occupational status, and type of employment contract, the overall mortality rate was 4.3 (95% confidence intervals 2.6 to 7.0) and 3.3 (2.1 to 5.3) times greater in men and women with more than one long term absences per year than in those with no absence. The corresponding hazard ratios for more than 15 annual sick days were 4.7 (2.3 to 9.6) and 3.7 (1.5 to 9.1). Both these measures of sickness absence were also predictive of deaths from cardiovascular disease, cancer, alcohol related causes, and suicide. Associations between short term sickness absences and mortality were weaker and changed to non-significant after adjustment for long term sickness absence. Conclusions: These findings suggest that measures of sickness absence, such as long term absence spells and sick days, are strong predictors of all cause mortality and mortality due to cardiovascular disease, cancer, alcohol related causes, and suicide.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Pappas, G., Queen, S., Hadden, W., & Fisher, G. (1993) · New England Journal of Medicine · doi:10.1056/nejm199307083290207 · Cited by 1,524
Self-rated health and mortality in the NHANES I Epidemiologic Follow-up Study
Idler, E. L., & Angel, R. J. (1990) · American Journal of Public Health · doi:10.2105/ajph.80.4.446 · Cited by 864
Sex and suicide: Gender differences in suicidal behaviour
Hawton, K. (2000) · British Journal of Psychiatry · doi:10.1192/bjp.177.6.484 · Cited by 504
Cited by
Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research
Franklin, J. C., Ribeiro, J. D., Fox, K. R., Bentley, K. H., Kleiman, E. M., Huang, X., Musacchio, K. M., Jaroszewski, A. C., Chang, B. P., & Nock, M. K. (2017) · Psychological Bulletin · doi:10.1037/bul0000084 · Cited by 3,784
Working While Ill as a Risk Factor for Serious Coronary Events: The Whitehall II Study
Kivimäki, M., Head, J., Ferrie, J. E., Hemingway, H., Shipley, M. J., Vahtera, J., & Marmot, M. G. (2005) · American Journal of Public Health · doi:10.2105/ajph.2003.035873 · Cited by 304
Self-citationA meta-analysis of observational studies identifies predictors of sickness absence
Duijts, S. F. A., Kant, I., Swaen, G. M. H., van den Brandt, P. A., & Zeegers, M. P. A. (2007) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2007.04.008 · Cited by 284
Ala-Mursula, L., Vahtera, J., Linna, A., Pentti, J., & Kivimäki, M. (2005) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2004.030924 · Cited by 187
Self-citationInfluence of change in psychosocial work characteristics on sickness absence: the Whitehall II study
Head, J., Kivimäki, M., Martikainen, P., Vahtera, J., Ferrie, J. E., & Marmot, M. G. (2006) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2005.038752 · Cited by 149
Self-citation
Metadata
- Authors
- Vahtera, J., Pentti, J., & Kivimäki, M.
- Venue
- Journal of Epidemiology and Community Health
- Publisher
- BMJ
- Published
- 2004-03-16
- Volume
- 58
- Issue
- 4
- Pages
- 321-326
- ISSN
- 0141-7681 (ISSN-L)
- 0143-005X
- 1470-2738
- OpenAlex
- W2072812468
- Cited by
- 263
- References
- 3
- FWCI
- 29.42
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.